Peter Haddock

872 citations
39 papers · 696 · h-index 15

Impact in

Papers in

Peter Haddock

38 papers receiving 670 citations

Peers

Peter Haddock
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 334
  • Cellular and Molecular Neuroscience 107
  • Molecular Biology 319
  • Pathology and Forensic Medicine 73
  • Urology 24
Replace Sandra E. Burke with:
Sandra E. Burke United States
András Dávid Tóth Hungary
Michael Gralinski United States
Gregory S. Friedrichs United States
L Whitesell United States
Nathan L. Lubbers United States
Rainer Marquetant Germany
S.F. Brady United Kingdom
Jean‐Jacques Mercadier France
Tsuyoshi Urushida Japan
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Citations per field
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Citations per year

Countries citing papers authored by Peter Haddock

Since Specialization
Citations

This map shows the geographic impact of Peter Haddock's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Haddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Haddock more than expected).

Fields of papers citing papers by Peter Haddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Haddock. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Haddock. The network helps show where Peter Haddock may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Haddock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Haddock Line = papers co-authored together Peter Haddock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999144
2 2003103
3 200351
4 199743
5 200241
6 199731
7 199527
8 199625
9 199821
10 201521
11 199518
12 201618
13 201416
14 201615
15 201515
16 201714
17 20148
18 19958
19 19958
20 19957

About Peter Haddock

Peter Haddock is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 696 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Sulfur Compounds in Biology (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Neuroscience and Neural Engineering (4 papers), Renal cell carcinoma treatment (3 papers) and Urological Disorders and Treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (334 citations), Cellular and Molecular Neuroscience (107 citations), Molecular Biology (319 citations), Pathology and Forensic Medicine (73 citations) and Urology (24 citations). Peter Haddock has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William A. Coetzee, Michael Artman, Donald M. Bers, Joseph Wagner, Lisa M. Porter, M. Saleet Jafri, Hideki Katoh, David J. Hearse, Michael J. Shattock and Eric Karran. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Urology, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Thoracic and Cardiovascular Surgery and Circulation Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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